CALIPSO lidar ratio retrieval over the ocean

Cirrus optical depth and lidar ratio retrieval from combined CALIPSO-CloudSat observations using ocean surface echo

The CALIPSO Automated Aerosol Classification and Lidar Ratio Selection Algorithm

Descriptions are provided of the aerosol classification algorithms and the extinction-to-backscatter ratio (lidar ratio) selection schemes for the Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) aerosol products. One year of CALIPSO level 2 version 2 data are analyzed to assess the veracity of the CALIPSO aerosol-type identification algorithm and generate vertically...

Aerosol Retrievals from CALIPSO Lidar Ocean Surface Returns

This paper describes approaches to retrieve important aerosol results from the strong lidar return signals that are received by the space-borne CALIPSO lidar system after reflecting off-ocean surfaces. Relations, from which the theoretically expected values of area under ocean surface returns can be computed, are presented. A detailed description of the lidar system response to the ocean surfac...

Selection algorithm for the CALIPSO lidar aerosol extinction-to- backscatter ratio

The extinction-to-backscatter ratio (Sa) is an important parameter used in the determination of the aerosol extinction and subsequently the optical depth from lidar backscatter measurements. We outline the algorithm used to determine Sa for the Cloud and Aerosol Lidar and Infrared Pathfinder Spaceborne Observations (CALIPSO) lidar. Sa for the CALIPSO lidar will either be selected from a look-up...

The On-orbit Performance of the Caliop Lidar on Calipso

CALIPSO is a joint NASA – CNES satellite currently in its third year of operation in low earth orbit. The satellite is making optical measurements of the Earth’s atmosphere to help quantify the impact of aerosols and clouds on the Earth’s radiation budget. To do this, it carries three instruments: CALIOP, a two-wavelength polarization-sensitive elastic backscatter lidar; the IIR a three band th...